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I am a results-oriented professional who excels at problem-solving and achieving outcomes through data analysis. I have experience in various areas, including fraud prevention and payment operations. Throughout my career, I have built managerial dashboards to monitor relevant metrics and created custom queries to identify improvement opportunities, such as reducing chargebacks and increasing credit card approval rates.
Fraud
▪ Building managerial dashboards to monitor key fraud-related metrics.
▪ Creating custom queries to identify opportunities to reduce chargeback rates and increase credit card approval rates.
▪ Assisting in the creation of rules for feeding the anti-fraud model and enhancing the system.
▪ Data modeling, process documentation, and task automation to increase process efficiency.
▪ Investigating patterns and analyzing data to identify fraudulent profiles in buyers and sellers.
Payments:
▪ Interpretation, analysis, and provision of reports.
▪ Data ingestion, collection routine, and transformation.
▪ Creation and maintenance of dashboards and their feeding routines.
▪ Collaborating with Payments management team to prioritize business needs.
▪ Identifying and defining new process improvement opportunities.
▪ Providing data support to Operations departments, including Chargeback, CS (L3), Collections, Payouts, Payments, Projects, Refunds, and Wallet Adjustment.
▪ Collecting, exporting, and cleansing data to ensure accuracy and completeness.
▪ Designing and delivering visually appealing dashboards for multinational corporations across various industries, including Ticket by EdenRed, E! Entertainment Television, HDI, Santander Auto, TopChef Brasil, and Ajinomoto Food Service.
▪ Utilizing data from multiple sources to generate valuable insights and actionable recommendations aligned with the client’s business strategy.
▪ Competitor research to identify opportunities for action.
▪ Creating various reports including Web Heatmap, Email Marketing (RD Station), Paid Media (Meta, Youtube, Tiktok, and Google), Chatbot (IBM Watson), Tag Manager, and other services offered by the agency.
• Prioritizing tasks and objectives.
• Prospecting new technologies.
• Creating dashboards to present results.
• Implementing a data-driven culture for decision-making.
• Team formation and leadership.
• KPI-driven digital marketing operations and industry metrics.
• Marketing operations at textile fairs and exhibitions.
• Implementation of a Chatbot system (SaaS) to enhance intelligence and results.
• Improved sales logistics: freight, reverse logistics, carriers, claims.
• Briefing and monitoring activities with digital influencers.
Univerisdade Nove de Julho | 2017 – 2021
ETEC Jorge Street | 2010 – 2011
SOS Computadores | 2008 – 2010
© Copyright 2018 dataanalyst.com . All right reserved.